期刊文献+

平面四旋翼无人飞行器运送系统的轨迹规划与跟踪控制器设计 被引量:9

Trajectory planning and tracking controller design for a planar quadrotor unmanned aerial vehicle transportation system
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摘要 对于四旋翼无人飞行器运送系统而言,需要保证飞行过程中负载的摆幅维持在适当的范围内,并且在飞行器到达目的地后负载无残余摆动.本文针对四旋翼无人飞行器运送系统,提出了一种新颖的轨迹规划与跟踪控制方法.论文首先得到了平面四旋翼无人飞行器的运动特性与负载摆角之间的非线性耦合关系.通过相平面内的几何分析,分别设计了两个轴方向上的分段式加速度轨迹.这种轨迹具有简洁的解析表达式并可获得较高的运送效率,同时满足飞行器的速度,加速度等物理约束.为了使四旋翼无人飞行器准确跟踪规划好的轨迹,本文基于反步法设计了一种非线性跟踪控制器,并通过李雅普诺夫方法对其闭环稳定性进行分析,证明其能使跟踪误差指数收敛于零.论文最后通过仿真结果验证了本文所提出方法的可行性与有效性,及其对外界干扰的鲁棒性. For a quadrotor unmanned aerial vehicle(UAV) transportation system, it is necessary to keep the payload swing within an appropriate range in the flight course, and the residual swing should vanish when the UAV reaches the destination. To meet these requirements, we propose a novel method of trajectory planning and tracking control for the quadrotor UAV transportation system. In this method the nonlinear coupling behavior between the planar motion and the load swing of the quadrotor UAV is first determined; and then, we derive a simple expression for each segmented acceleration trajectory along two planar coordinates in the phase plane. Because of their simplicities, these segmented trajectories are easy to be applied to design a backstepping-based nonlinear tracking controller for obtaining an efficient transportation course while satisfying the physical constraints on velocity and acceleration of the UAV. The stability of the closed-loop system is proved by using Lyapunov techniques, which ensures that the tracking error exponentially converges to zero.Simulation results show the feasibility and effectiveness of the proposed approach in achieving the desired performance indices while providing robustness against external disturbances.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2015年第11期1430-1438,共9页 Control Theory & Applications
基金 国家杰出青年科学基金项目(61325017)资助~~
关键词 四旋翼无人飞行器 运送系统 相平面 轨迹规划 反步法 quadrotor UAV transportation system phase plane trajectory planning backstepping
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参考文献25

  • 1CARRILLO L R G, DZUL A, LOZANO R. Hovering quad-rotor control: A comparison of nonlinear controllers using visual feedback [J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(4): 3159 - 3170.
  • 2LEE T, LEOK M, MCCLAMROCH N H. Nonlinear robust tracking control of a quadrotor UAV on SE (3) [J]. Asian Journal of Control, 2013, 15(2): 391-408.
  • 3方勇纯,申辉,孙秀云,等.无人直升机航向自抗扰控制[J】.控制理论与应用,2014,31(2):238-243.
  • 4鲜斌,古训,刘祥,王福,刘世博.小型无人直升机姿态非线性鲁棒控制设计[J].控制理论与应用,2014,31(4):409-416. 被引量:17
  • 5RINALDI F, CHIESA S, QUAGLIOTTI E Linear quadratic control for quadrotors UAVs dynamics and formation flight [J]. Journal of Intelligent & Robotic Systems, 2013, 70(1/4): 203 - 220.
  • 6TURPIN M, MICHAEL N, KUMAR V. Trajectory design and con- trol for aggressive formation flight with quadrotors [J]. Autonomous Robots, 2012, 33(1/2): 143 - 156.
  • 7杨荟憭,姜斌,张柯.四旋翼直升机姿态系统的直接自修复控制[J].控制理论与应用,2014,31(8):1053-1060. 被引量:24
  • 8汪绍华,杨莹.基于卡尔曼滤波的四旋翼飞行器姿态估计和控制算法研究(英文)[J].控制理论与应用,2013,30(9):1109-1115. 被引量:41
  • 9POUNDS P E I, DOLLAR A M. Stability of helicopters in compliant contact under PD-PID control [J]. IEEE Transactions on Robotics, 2014, 30(6): 1472 - 1486.
  • 10POUNDS P E I, BERSAK D R, DOLLAR A M. Practical aeri- al grasping of unstructured objects [C] //Proceedings of the 2011 IEEE Conference on Technologies for Practical Robot Applications. Woburn: IEEE, 2011:99 - 104.

二级参考文献34

  • 1耿淼,姜斌,郭玉英,杨浩.执行器故障参数不可测飞行系统的模型跟踪重构控制[J].东南大学学报(自然科学版),2009,39(S1):177-182. 被引量:2
  • 2HOFFMANN E GODDEMEIER N, BERTRAM T. Attitude estima- tion and control of a quadrocopter [C]//The 2010 IEEE/RSJ Interna- tional Conference on Intelligent Robots and Systems. Taipei: IEEE, 2010: 1072- 1077.
  • 3KENDOUL F, NONAMI K. A visual navigation system for au- tonomous flight of micro air vehicles [C]//The 2009 IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems. Louis, USA: IEEE, 2009:3888 - 3893.
  • 4BOUCHOUCHA M, TADJINE M, TAYEBI A, et al. Backstepping based nonlinear PI for attitude stabilisafion of a quadrotor: from the- ory to experiment [C]//2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. Nice, France: IEEE, 2008:4183.
  • 5Crossbow. Measurement of a vehicle's dynamic motion combine angular rate sensors with accelerometers [OL]. http://www.moog- crossbow.com/Literature/Application_N of_Vehicle% 27 s _Dynaraic_Motions.pdf.
  • 6PETKOV P, SLAVOV T. Stochastic modeling of MEMS inertial sen- sors [J]. Bulgarian Academy of Sciences: Cybernetics and Informa- tion Technologies, 2010, 10(2): 31 - 40.
  • 7VAIBHAV S, RANA S C, KUBER M M. Online estimation of state space error model for MEMS IMU [J]. Journal of Modelling and Sim- ulation of Systems, 2010, 1(4): 219 - 225.
  • 8HUAM1NG Q, QUANXI X, BO J, et al. On modeling of random drift of MEMS gyroscope and design of Kalman filter [C] //Proceedings of the 2009 IEEE International Conference on Mechatronic-" and Au- tomation. Changchun, China: IEEE, 2009.
  • 9ARNOLD M, MILNER X H R, WITTE H, et al. Adaptive AR modeling of nonstationary time series by means of Kalman filtering [J]. IEEE Transactions on Biomedical Engineering, 1998, 45(5): 553 - 562.
  • 10WU X, DUAN L, CHEN W. A Kalman filter approach based on random drift data of fiber optic gyro [C]//The 6th IEEE Conference on Industrial Electronics and Applications. Beijing, China: IEEE, 2011.

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